Search papers, labs, and topics across Lattice.
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
2
0
3
5
Self-supervised learning can transform noisy LiDAR SLAM into a robust system by recursively refining local geometric representations.
Real-time, uncertainty-aware signed distance functions are now possible, thanks to a new kernel regression and Gaussian process hybrid that outperforms existing methods in accuracy and speed.
